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The Thinking Industry: An approach for Gaining Highest Advantage of Digitalisation within Maintenance
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0002-2637-6175
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-7048-8089
Mälardalens högskola.
Mälardalens högskola.ORCID iD: 0000-0002-0729-0122
2017 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 147-158Article in journal (Refereed) Published
Abstract [en]

Digitizing is on top of many agendas as one solution to industrial problems and in realizing Industry 4.0. By digitizing production one can achieve process efficiency and flexibility as well as resource effectiveness throughout the whole life cycle. The smart factory of tomorrow is characterized by adaptive and self-regulating cyber-physical and real-time connected systems. However, without a clear purpose, and without taking advantage of all the intellectual as well as material resources in the industry, it will risk becoming a fad like many others. Smart IT solutions must be combined with smart people and a smart approach to digitizing. The focus should be on optimizing the maintenance throughout the asset lifetime and  on matching digitalization efforts with suitable maintenance strategies based on the needs of the operations. The basic idea behind the concept of “The thinking industry” is to see upon the future with a system’s perspective based on the motto “think hard, think right, think system(atically)”. This paper describes the concept of “The thinking industry” and how it supports the digitizing of maintenance. Moreover, a general work process is proposed and exemplified.

Place, publisher, year, edition, pages
Aylesbury, England: ShieldCrest publishing Limited , 2017. Vol. 2, p. 147-158
Keywords [en]
Maintenance, Industry 4.0, Maturity models, Acceptance models, Best practices, Digitalization
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology; Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-77672OAI: oai:DiVA.org:lnu-77672DiVA, id: diva2:1247083
Note

Ej belagd 180925 , ISBN 978-1-912505-25-8

Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2018-09-25Bibliographically approved

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Authority records BETA

Kans, MirkaCampos, Jaime

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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